中国机械工程

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酸洗连轧生产线机组轧制功率建模及工艺参数优化

杨杰1;宋健1;胡琦1;张超勇2;孟磊磊2   

  1. 1.中国地质大学(武汉)机械与电子信息学院,武汉,430074
    2.华中科技大学数字制造装备与技术国家重点实验室,武汉, 430074
  • 出版日期:2018-10-10 发布日期:2018-10-08
  • 基金资助:
    国家自然科学基金资助项目(51575211,51805330,51705263) ;
    国家自然科学基金国际(地区)合作与交流资助项目(51561125002)
    National Natural Science Foundation of China (No. 51575211,51805330,51705263)
    Projects of International Cooperation and Exchanges NSFC(No. 51561125002)

Pickling-cold Rolling Production Line Power Modeling and Process Parametersing Optimizeation

YANG Jie1;SONG Jian1;HU Qi1;ZHANG Chaoyong2;MENG Leilei2   

  1. 1.School of Mechanical Engineering and Electronic Information,China University of Geosciences,Wuhan,430074
    2.State Key Lab of Digital Manufacturing Equipment and Technology,Huazhong University of Science and Technology,Wuhan,430074
  • Online:2018-10-10 Published:2018-10-08
  • Supported by:
    National Natural Science Foundation of China (No. 51575211,51805330,51705263)
    Projects of International Cooperation and Exchanges NSFC(No. 51561125002)

摘要: 为了提高酸洗连轧生产线的能量效率,采用能量流的理论方法,建立了酸洗连轧生产线轧制功率模型,用于评估计算酸洗连轧生产线上机组的实时功率。根据某冷轧厂提供的酸洗连轧全线电机型号和功率表,将实际参数代入模型,求解出某一机组所需的功率,通过与该机组电机容量进行比较,验证了模型的准确性。最后以能耗最低和板形良好为优化目标,对功率模型的工艺参数进行多目标优化,设计了一种改进的粒子群算法进行求解,得到了最终优化结果。

关键词: 酸洗连轧生产线, 能量流, 功率建模, 工艺参数, 多目标优化

Abstract:

Aiming at improving the energy efficiency of the pickling-cold rolling production line, an energy flow method was introduced to establish energy model for the production lines, to analyze the real time power required by each machine. To verification the accuracy of the model which includes parameters relevant of rolling mill, a full line motor model and power meter provided by a cold rolling mill was substituted into the model to calculate required power of a machine, and the results were contrasted with the motor capacity of the machine. Finally, with the lowest energy consumption and good strip shape as the optimization goal, processing parameters of power model were multi-objectively optimized and an improved PSO was designed to solve model for getting final optimization results.

Key words: pickling-cold rolling production line, energy flow, powering modeling, process parameter, multi-objective optimization

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